Evidence map›Paper›PMID 36226049›Full record

ArticleFrontiers in oncology2022

Case Report: A novel intergenic MIR4299/MIR8070-RET fusion with RET amplification and clinical response to pralsetinib in a lung adenocarcinoma patient.

Sha-Sha Wang, Fang Wang, Zhen Zeng, Fang Gao, Huan-Huan Liu, Hui-Na Wang, Yi Hu, Hai-Feng Qin

Erratum issuedOpen access · goldAbstract readCase Reports
In one paragraph

Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 41% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Response to Selpercatinib in aLung Cancer (Auckland, N.Z.) · 2026
    Article
  2. Amplification of Wild-TypeJCO precision oncology · 2023
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 1 country.

Sha-Sha WangDepartment of Oncology, Chinese People's Liberation Army General Hospital, Beijing, China.
Fang WangDepartment of Internal Medicine, OASIS International Hospital, Beijing, China.
Zhen ZengDepartment of Oncology, Chinese People's Liberation Army General Hospital, Beijing, China.
Fang GaoDepartment of Oncology, Chinese People's Liberation Army General Hospital, Beijing, China.
Huan-Huan LiuDepartment of Medicine, Acornmed Biotechnology Co., Ltd., Beijing, China.
Hui-Na WangDepartment of Medicine, Acornmed Biotechnology Co., Ltd., Beijing, China.
Yi HuDepartment of Oncology, Chinese People's Liberation Army General Hospital, Beijing, China.
Hai-Feng QinDepartment of Oncology, Chinese People's Liberation Army General Hospital, Beijing, China.
People's Liberation Army No. 150 Hospital · CNChinese People's Liberation Army · CNOASIS International Hospital

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The identification of receptor-tyrosine kinase gene (RET) fusions in lung cancer has become crucial owing to actionable events that predict responsiveness to tyrosine kinase inhibitors (TKIs). However, RET fusions with distinct partner genes respond differently to TKIs. In this case, a 60-year-old man was diagnosed with advanced lung adenocarcinoma. A novel RET-MIR4299/MIR8070 fusion and RET amplification were identified using next-generation sequencing (NGS). The patient was then administered with pralsetinib. After 3 weeks of therapy, the patient had a partial response. At the time of reporting, the patient was on continuous pralsetinib. These findings broaden the range of RET fusion types and provide the basis for the hypothesis that RET intergenic fusion and amplification respond to pralsetinib treatment in lung adenocarcinoma.

Indexed as

lung adenocarcinomanovel intergenicpralsetinibRET intergenic fusiontyrosine kinase inhibitors

Identifiers

PMID36226049
PMCPMC9548572
OpenAlexW4297154034

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.